Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition.
Kei HashimotoHeiga ZenYoshihiko NankakuAkinobu LeeKeiichi TokudaPublished in: INTERSPEECH (2008)
Keyphrases
- speech recognition
- prior distribution
- hidden markov models
- posterior distribution
- bayesian inference
- bayesian framework
- probability distribution
- speech signal
- speech synthesis
- language model
- speech recognizer
- maximum a posteriori
- prior information
- probability density function
- automatic speech recognition
- pattern recognition
- generative model
- bayesian methods
- speech recognition systems
- clustering algorithm
- speaker identification
- conditional probabilities
- parameter estimation
- maximum likelihood
- k means
- probabilistic model
- image processing
- latent variables
- high dimensional data
- training data
- computer vision